Extracting diagnostic gait signatures for cerebral palsy patients

Lakany, H. (2003) Extracting diagnostic gait signatures for cerebral palsy patients. Gait and Posture, 18 (Supple). p. 31. ISSN 0966-6362

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Official URL: http://dx.doi.org/10.1016/S0966-6362(03)00073-0

Abstract

This research addresses the question of the existence of prominent diagnostic signatures for human walking extracted from kinematics gait data. The proposed method is based on transforming the joint motion trajectories using wavelets to extract spatio-temporal features which are then fed as input to a vector quantiser; a self-organising map for classification of walking patterns of individuals with and without pathology. We show that our proposed algorithm is successful in extracting features that successfully discriminate between individuals with and without locomotion impairment.

Author(s):	Lakany, H. ORCID: https://orcid.org/0000-0003-3079-0392
Item type:	Article
ID code:	8259
Notes:	ESMAC Abstracts. Gait & Posture. Volume 18, Supplement 2, October 2003, Pages 80-123
Keywords:	human locomotion, gait analysis, feature extraction, self-organising maps, diagnostic signatures, Bioengineering, Rehabilitation, Orthopedics and Sports Medicine, Biophysics
Subjects:	Technology > Engineering (General). Civil engineering (General) > Bioengineering
Department:	Faculty of Engineering > Bioengineering
Depositing user:	Strathprints Administrator
Date deposited:	05 Aug 2009 13:39
Last modified:	04 Oct 2019 00:47
Related URLs:	UNSPECIFIED Publisher
URI:	https://strathprints.strath.ac.uk/id/eprint/8259
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